电网技术2011，Vol.35Issue(5)：177-182,6.
基于小波包和支持向量回归的风速预测
Wind Speed Forecasting Based on Combination of Wavelet Packet Analysis With Support Vector Regression
摘要
Abstract
By use of the combination of wavelet package transform with support vector regression (SVR), the one hour to six hour-ahead wind speed forecasting of each ten minute is researched. Firstly, in view of the non-stationary and nonlinear features of wind speed, the original wind speed sequence is decomposed into a series of sub-sequences; then these sub-sequences are respectively forecasted by SVR; finally,respective outputs are superposed to obtain final forecasted wind speed. Taking two sets of measured data possessing different characteristics in a certain wind farm as application cases, the application results show that by use of wavelet package transform the variation of wind speed can be grasped better; due to the better learning ahility of SVR, the combination of wavelet package transform with SVR is superior to existing wind speed forecasting methods.关键词
小波包变换/支持向量回归/风速预测Key words
wavelet packet transform/ support vector regression (SVR)/ wind speed forecasting分类
信息技术与安全科学引用本文复制引用
陈盼,陈皓勇,叶荣,陈天恩,李丹..基于小波包和支持向量回归的风速预测[J].电网技术,2011,35(5):177-182,6.基金项目
教育部新世纪优秀人才支持计划(NCET0802007) （NCET0802007）
教育部科学技术研究重点项目(109128). （109128）
